Instructions to use philschmid/gbert-base-germaner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philschmid/gbert-base-germaner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="philschmid/gbert-base-germaner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("philschmid/gbert-base-germaner") model = AutoModelForTokenClassification.from_pretrained("philschmid/gbert-base-germaner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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README.md
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language:
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license: mit
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Philipp ist 26 Jahre alt und lebt in Nürnberg, Deutschland. Derzeit arbeitet er als Machine Learning Engineer und Tech Lead bei Hugging Face, um künstliche Intelligenz durch Open Source und Open Science zu demokratisieren.
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datasets:
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- germaner
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metrics:
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- recall
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- f1
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- accuracy
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model-index:
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- name: gbert-base-germaner
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results:
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- task:
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name: Token Classification
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type: token-classification
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dataset:
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name: germaner
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type: germaner
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args: default
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metrics:
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type: precision
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value: 0.8520523797532108
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value: 0.8754204398447607
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value: 0.8635783563042368
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value: 0.976147969774973
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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language:
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- de
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license: mit
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datasets:
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- germaner
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metrics:
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- recall
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- f1
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- accuracy
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widget:
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- text: 'Philipp ist 26 Jahre alt und lebt in Nürnberg, Deutschland. Derzeit arbeitet
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er als Machine Learning Engineer und Tech Lead bei Hugging Face, um künstliche
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Intelligenz durch Open Source und Open Science zu demokratisieren.
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'
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base_model: deepset/gbert-base
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model-index:
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- name: gbert-base-germaner
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results:
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- task:
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type: token-classification
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name: Token Classification
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dataset:
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name: germaner
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type: germaner
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args: default
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metrics:
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- type: precision
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value: 0.8520523797532108
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name: precision
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- type: recall
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value: 0.8754204398447607
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name: recall
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- type: f1
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value: 0.8635783563042368
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name: f1
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- type: accuracy
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value: 0.976147969774973
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name: accuracy
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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